nCode DesignLife - Fatigue life prediction and Test-CAE Correlation

Fatigue life prediction and Test-CAE Correlation

nCode DesignLife - Fatigue life prediction and Test-CAE Correlation

Fatigue life prediction and Test-CAE Correlation

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DesignLife for CAE-based fatigue analysis

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Predict structural durability from major FEA results

nCode DesignLife is a CAE-based fatigue analysis system that contains a comprehensive set of solvers and advanced methods for predicting structural durability from major finite element analysis (FEA) result files. It identifies critical locations and calculates realistic fatigue lives for both metals and composites. Design engineers can go beyond performing simplified stress analysis and avoid under- or over-designing products by simulating actual loading conditions to avoid costly design changes. 

Predict structural durability from major FEA results

nCode DesignLife is a CAE-based fatigue analysis system that contains a comprehensive set of solvers and advanced methods for predicting structural durability from major finite element analysis (FEA) result files. It identifies critical locations and calculates realistic fatigue lives for both metals and composites. Design engineers can go beyond performing simplified stress analysis and avoid under- or over-designing products by simulating actual loading conditions to avoid costly design changes.

Discover key capabilities in DesignLife for efficiently locating critical failures

Avoid over-designing and costly changes
Simulate actual loading conditions based on FEA results from leading solvers such as ANSYS, Nastran, Abaqus, Altair OptiStruct, LS-Dyna and others.
Improve consistency and quality of analysis
Intuitive, graphical interface with functions for multiaxial, welds, short-fibre composite, vibration, crack growth, thermo-mechanical fatigue and more
Increase confidence in results of simulations
Perform smarter, quicker physical tests by correlating CAE directly with physical test data in a single environment.
Achieve more accurate fatigue estimation
Reduce cost and weight by assessing more designs with material parameters derived from in-house materials testing.
Rapidly improve product designs with faster analysis
Improve simulation throughput by leveraging hardware scalability with multi-threaded and distributed processing capabilities for processing large finite element models.
Improve and optimize the durability of composite components
Understand performance of new materials with composite-focused modules capable of modeling structural performance and possible failure modes, including fatigue.

Improve fatigue life estimation with extended material data libraries

Premium materials database

High quality fatigue parameters

The Premium Materials Database contains over 100 fatigue properties primarily for commonly used types of steel and aluminium alloys, plus some other nonferrous materials. These high quality fatigue parameters include statistical estimates of scatter to enable reliability and certainty of survival to be assessed.

Fatigue characterization and material testing

In order to achieve the closest fatigue estimation for design, we recommend using material parameters from material tested in the exact condition. This means using the composition, manufacturing route, and heat treatment condition (including strength) that is directly relevant to the component. These parameters should ideally come from test coupons machined from an actual component.
Materials testing lab operated by Prenscia under Hottinger Bruel and Kjaer UK Ltd

".. engineers are using nCode DesignLife, for instance, to analyze hood slams. After gathering data from three slam velocities, the engineers can run the stress time history through nCode DesignLife to determine the number of cycles required to induce cracking. With this process, nCode DesignLife saves both cost and time in the testing."

PSA Groupe
BOA Group - HEMAC setup for analysis with nCode
millbrook logo
"The ability to evaluate design options and if necessary change the design in the early stages of the design process increases confidence, reduces risk and helps get products to market faster." 
AL-KO/Automotive/Commercial Vehicles
AL-KO logo
“With just a few simple FE-analysis based changes to the design, we were able to extend the durability of our 13“ axle by more than 5 times, having the same costs and material conditions as previously used... "

".. engineers are using nCode DesignLife, for instance, to analyze hood slams. After gathering data from three slam velocities, the engineers can run the stress time history through nCode DesignLife to determine the number of cycles required to induce cracking. With this process, nCode DesignLife saves both cost and time in the testing."

PSA Groupe
BOA Group - HEMAC setup for analysis with nCode
"The ability to evaluate design options and if necessary change the design in the early stages of the design process increases confidence, reduces risk and helps get products to market faster." 
AL-KO/Automotive/Commercial Vehicles
“With just a few simple FE-analysis based changes to the design, we were able to extend the durability of our 13“ axle by more than 5 times, having the same costs and material conditions as previously used... "

Ready to achieve success through failure prediction?

Ready to achieve success through failure prediction?